AI Trust
Verification of the fairness of AI's learning data and judgments, with full implementation support of AI in systems for 'AI Ethics', 'AI Quality', and 'AI Security’.
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Global
Fujitsu AI Ethics for Fairness Introduction
Easily verification and improvement of the fairness of AI models. AI learning data and fairness of decisions can be simply verified on a web browser and improved as needed.
Global
Adversarial Example Attack Detector
Fujitsu's explainable learning technology detects adversarial example attacks, overcoming false identification of image recognition AI.
Global
Fujitsu delivers new resource toolkit to offer guidance on ethical impact of AI systems
Fujitsu today announced the development of a resource toolkit offering developers guidance for evaluating the ethical impact and risks of AI systems based on international AI ethics guidelines. Fujitsu will offer these resources free of charge starting from February 21, 2022 to promote the safe and secure deployment of AI systems in society.
Global
Promoting Trustworthy AI –new risk comprehension technology accelerates risk assessment from days to just 2 hours!
AI is increasingly being used in various fields such as healthcare, finance, and manufacturing. There are, however, concerns that AI and the data used to train it may be making unfair judgments due to bias in terms of gender and ethnicity. In order to promote trustworthy AI, the European Union is working towards enacting the AI Act in the coming years.
